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SASInstitute A00-282 Exam Syllabus Topics:

SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:

Question 1

In a Statistical Analysis Plan (SAP) the following statement is written:
To test the association between the pain intensity reported by the patient and the treatment the patient has been administered, a Cochran-Mantel-Haenszel test will be performed adjusting for the country of the patient's investigational site.
The following variables and levels are used:
- Pain intensity (PAIN): "No pain", "Mild pain", "Moderate pain", "Severe pain", "Most severe pain"
- Treatment group (TREAT): "Placebo", "Drug A", "Drug B"
- Country (COUNTRY): Eight different values.
The following program is written to perform this analysis:
proc freq data=pain;
by COUNTRY;
tables PAIN * TREAT / cmh;
run;
This code does not produce the analysis requested by the SAP.
What is wrong with this code?

A. The variable PAIN should be on the BY statement along with the variable COUNTRY.
B. The option CMH should be on the PROC FREQ statement instead of on the TABLES statement.
C. The variables PAIN and TREAT should be on the BY statement, and the variable COUNTRY should be on the TABLES statement.
D. The variable COUNTRY should be on the TABLES statement instead of the BY statement.

Question 2

The following SAS program is submitted:

If the value for the variable Subjcode is "WGT2", what is the value of the variable Description?

A. Wgt2
B. Over
C. missing character value
D. Unknown

Question 3

A report that you are working on will require the following header lines:

Which code adds the second line of the header "Adverse Events"?

A. title2 'Adverse Events';
B. title2 = 'Adverse Events';
C. header2 'Adverse Events';
D. header2 = 'Adverse Events';

Question 4

Which statement correctly creates a SAS date variable from a character variable?

A. sasdate = 'chardate'd;
B. sasdate = input(chardate,date9.);
C. sasdate = date(chardate,date9.);
D. sasdate = put(chardate,date9.);

Question 5

The table below shows a subset of values of the variables LLTERM and HLTERM from a larger data set that is to be read into a DATA step.

Which subsetting IF statement could ensure that only records that have a missing value of LLTERM or a missing value of HLTERM are written to the resulting data set?

A. if cmiss(LLTERM, HLTERM) > 0;
B. if missing(LLTERM, HLTERM) > 0;
C. if anyalpha(LLTERM, HLTERM) > 0;
D. if nmiss(LLTERM, HLTERM) > 0;

Solutions: